{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simuPOP Version 1.1.8.3 : Copyright (c) 2004-2016 Bo Peng\n",
      "Revision 4553 (Feb 11 2017) for Python 3.6.0 (64bit, 1thread)\n",
      "Random Number Generator is set to mt19937 with random seed 0x36470281d8ad80ef.\n",
      "This is the standard short allele version with 256 maximum allelic states.\n",
      "For more information, please visit http://simupop.sourceforge.net,\n",
      "or email simupop-list@lists.sourceforge.net (subscription required).\n"
     ]
    }
   ],
   "source": [
    "#XXX seaborn removed\n",
    "from collections import defaultdict, OrderedDict\n",
    "from copy import deepcopy\n",
    "import random\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import simuPOP as sp\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def kill(pop):\n",
    "    kills = []\n",
    "    for i in pop.individuals():\n",
    "        if i.sex() == 1:\n",
    "            cut = pop.dvars().survival_male[int(i.age)]\n",
    "        else:\n",
    "            cut = pop.dvars().survival_female[int(i.age)]\n",
    "            if pop.dvars().gen > pop.dvars().cut_gen and i.age == 2:\n",
    "                cut = 0\n",
    "        if random.random() > cut:\n",
    "            kills.append(i.ind_id)\n",
    "    pop.removeIndividuals(IDs=kills)\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def choose_parents(pop):\n",
    "    #name convention required\n",
    "    fathers = []\n",
    "    mothers = []\n",
    "\n",
    "    for ind in pop.individuals():\n",
    "        if ind.sex() == 1:\n",
    "            fathers.extend([ind] * pop.dvars().male_age_fecundity[int(ind.age)])\n",
    "        else:\n",
    "            ind.num_kids = 0\n",
    "            mothers.append(ind)\n",
    "    while True:\n",
    "        father = random.choice(fathers)\n",
    "        mother_ok = False\n",
    "        while not mother_ok:\n",
    "            mother = random.choice(mothers)\n",
    "            if mother.num_kids < pop.dvars().max_kids[int(mother.age)]:\n",
    "                mother.num_kids += 1\n",
    "                mother_ok = True\n",
    "        yield father, mother\n",
    "        \n",
    "def calc_demo(gen, pop):\n",
    "    if gen > pop.dvars().cut_gen:\n",
    "        add_females = len([ind for ind in pop.individuals([0, 2]) if ind.sex() == 2])\n",
    "    else:\n",
    "        add_females = 0\n",
    "    return pop_size + pop.subPopSize([0, 3]) + add_females"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mating_scheme = sp.HeteroMating([\n",
    "    sp.HomoMating(\n",
    "        sp.PyParentsChooser(choose_parents),\n",
    "        sp.OffspringGenerator(numOffspring=1, ops=[\n",
    "            sp.MendelianGenoTransmitter(), sp.IdTagger()]),\n",
    "        weight=1),\n",
    "    sp.CloneMating(weight=-1)],\n",
    "    subPopSize=calc_demo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pop_size = 300\n",
    "num_loci = 50\n",
    "num_alleles = 10\n",
    "num_gens = 90\n",
    "cut_gen = 50\n",
    "#max_age = 3\n",
    "max_kids = [0, 0, float('inf'), 1]\n",
    "male_age_fecundity = [0, 0, 2, 1]\n",
    "survival_male = [1, 0.8, 0.8, 0]\n",
    "survival_female = [1, 0.9, 0.9, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pops = sp.Population(pop_size, loci=[1] * num_loci, infoFields=['age', 'ind_id', 'num_kids'])\n",
    "pops.setVirtualSplitter(sp.InfoSplitter(field='age', cutoff=[1, 2, 3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "init_ops = OrderedDict()\n",
    "pre_ops = OrderedDict()\n",
    "post_ops = OrderedDict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def init_age(pop):\n",
    "    pop.dvars().male_age_fecundity = male_age_fecundity\n",
    "    pop.dvars().survival_male = survival_male\n",
    "    pop.dvars().survival_female = survival_female\n",
    "    pop.dvars().max_kids = max_kids\n",
    "    pop.dvars().cut_gen = cut_gen\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def init_accumulators(pop, param):\n",
    "    accumulators = param\n",
    "    for accumulator in accumulators:\n",
    "        pop.vars()[accumulator] = []\n",
    "    return True\n",
    "\n",
    "def update_pyramid(pop):\n",
    "    pyr = defaultdict(int)\n",
    "    for ind in pop.individuals():\n",
    "        pyr[(int(ind.age), int(ind.sex()))] += 1\n",
    "    pop.vars()['age_pyramid'].append(pyr)\n",
    "    return True\n",
    "\n",
    "def update_ldne(pop):\n",
    "    pop.vars()['ldne'].append(pop.dvars().Ne_LD[0.05])\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "init_ops['Sex'] = sp.InitSex()\n",
    "init_ops['ID'] = sp.IdTagger()\n",
    "init_ops['accumulators'] = sp.PyOperator(init_accumulators, param=['ldne', 'age_pyramid'])\n",
    "init_ops['Freq'] = sp.InitGenotype(freq=[1 / num_alleles] * num_alleles)\n",
    "init_ops['Age-prepare'] = sp.PyOperator(init_age)\n",
    "init_ops['Age'] = sp.InitInfo(lambda: random.randint(0, len(survival_male) - 1), infoFields='age')\n",
    "pre_ops['Kill'] = sp.PyOperator(kill)\n",
    "pre_ops['Age'] = sp.InfoExec('age += 1')\n",
    "pre_ops['pyramid_accumulator'] = sp.PyOperator(update_pyramid)\n",
    "post_ops['Ne'] = sp.Stat(effectiveSize=sp.ALL_AVAIL, subPops=[[0, 0]], vars=['Ne_LD'])\n",
    "post_ops['Ne_accumulator'] = sp.PyOperator(update_ldne)\n",
    "#post_ops['count'] = sp.PyEval(r'\"gen %d, size %d\\n\" % (gen, pop.popSize())', exposePop='pop')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(90,)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim = sp.Simulator(pops, rep=1)\n",
    "sim.evolve(initOps=list(init_ops.values()), preOps=list(pre_ops.values()), postOps=list(post_ops.values()),\n",
    "           matingScheme=mating_scheme, gen=num_gens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ld_ne = sim.population(0).dvars().ldne\n",
    "pyramid = sim.population(0).dvars().age_pyramid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n",
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 9))\n",
    "ax_ldne = fig.add_subplot(211)\n",
    "ax_ldne.plot([x[0] for x in ld_ne[10:]], 'pink')\n",
    "ax_ldne.plot([x[1] for x in ld_ne[10:]], 'k--')\n",
    "ax_ldne.plot([x[2] for x in ld_ne[10:]], 'k--')\n",
    "ax_ldne.set_xticks(range(0, 81, 10))\n",
    "ax_ldne.set_xticklabels([str(x) for x in range(10, 91, 10)])\n",
    "ax_ldne.axvline(cut_gen - 10)\n",
    "ax_ldne.set_xlabel('Cycle')\n",
    "ax_ldne.set_ylabel('Effective population size (Est)')\n",
    "\n",
    "def plot_pyramid(ax_bp, pyramids):  #XXX change here: big\n",
    "    bp_data = [[] for group in range(3 * 2)]\n",
    "    for my_pyramid in pyramids:\n",
    "        for (age, sex), cnt in my_pyramid.items():\n",
    "            bp_data[(age - 1) * 2 + (sex - 1)].append(cnt)\n",
    "    skip = 0\n",
    "    for group in range(6):\n",
    "        if group in [2, 4]:\n",
    "            skip += 1\n",
    "        bp = ax_bp.boxplot([bp_data[group]], positions = [skip + group + 1], notch=True, patch_artist=True)\n",
    "        bp['boxes'][0].set_facecolor('yellow' if group % 2 == 1 else 'red')\n",
    "    for group in range(3):\n",
    "        ax_bp.text(1 + 3 * group, 90, 'M', va='top', ha='center')\n",
    "        ax_bp.text(2 + 3 * group, 90, 'F', va='top', ha='center')\n",
    "    ax_bp.set_xlim(0, 9)\n",
    "    ax_bp.set_ylim(20, 90)\n",
    "    ax_bp.set_xticklabels(['1', '2', '3'])\n",
    "    ax_bp.set_xticks([1.5, 4.5, 7.5])\n",
    "    ax_bp.legend()\n",
    "\n",
    "pre_decline = pyramid[10:50]\n",
    "post_decline = pyramid[51:]\n",
    "\n",
    "\n",
    "ax_bp = fig.add_subplot(2, 2, 3)\n",
    "plot_pyramid(ax_bp, pre_decline)\n",
    "\n",
    "\n",
    "ax_bp = fig.add_subplot(2, 2, 4)\n",
    "plot_pyramid(ax_bp, post_decline)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<class 'int'>, {(2, 1): 58, (1, 1): 72, (3, 1): 37, (1, 2): 58, (2, 2): 44})\n"
     ]
    }
   ],
   "source": [
    "print(post_decline[10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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